We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)
☆103Mar 29, 2023Updated 3 years ago
Alternatives and similar repositories for Awesome-Causal-Papers
Users that are interested in Awesome-Causal-Papers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结☆36Jun 10, 2025Updated last year
- Here is a list of papers related to causal reinforcement learning, and I hope you can submit relevant missing papers in the issue.☆18Jan 23, 2024Updated 2 years ago
- HACSurv: A Hierarchical Copula-based Approach for Survival Analysis with Dependent Competing Risks☆14Jun 6, 2026Updated last month
- ☆64Nov 15, 2023Updated 2 years ago
- [SDM'23] ML4C: Seeing Causality Through Latent Vicinity☆14Nov 9, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Multi-Instance Causal Representation Learning☆24Nov 7, 2024Updated last year
- [NeurIPS 2024] "Discovery of the Hidden World with Large Language Models"☆32Dec 2, 2024Updated last year
- Experiments to reproduce results in Interventional Causal Representation Learning.☆31Feb 1, 2023Updated 3 years ago
- Time series data structure learning with NOTEARS and DYNOTEARS☆15May 23, 2024Updated 2 years ago
- Causal Neural Nerwork☆162Sep 26, 2025Updated 10 months ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆41Mar 3, 2023Updated 3 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Jan 3, 2023Updated 3 years ago
- This is an implementation for our paper "Addressing Confounding Feature Issue for Causal Recommendation" based on PyTorch.☆21Jun 15, 2023Updated 3 years ago
- Bicycle: Intervention-Based Causal Discovery with Cycles☆38Jun 3, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- An awesome list of Causality and Machine Learning related papers, books and other resources.☆12Nov 13, 2023Updated 2 years ago
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆31Jan 19, 2023Updated 3 years ago
- TaskMet Task-driven Metric Learning for Model Learning☆21Feb 9, 2024Updated 2 years ago
- ☆17May 12, 2025Updated last year
- ☆17May 19, 2025Updated last year
- LLMs + Persona-Plug = Personalized LLMs☆15Oct 16, 2024Updated last year
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Nov 21, 2022Updated 3 years ago
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆515Mar 3, 2023Updated 3 years ago
- DGCIT: Double Generative Adversarial Networks for Conditional Independence Testing☆11Nov 22, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A curated list of causal reinforcement learning resources.☆111Dec 16, 2023Updated 2 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆751Nov 23, 2022Updated 3 years ago
- Causal Imitative Model official code☆18Jan 30, 2022Updated 4 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Nov 27, 2022Updated 3 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆27Feb 15, 2024Updated 2 years ago
- Trustworthy AI related projects☆1,127Jun 1, 2026Updated last month
- ☆11Apr 5, 2024Updated 2 years ago
- ☆22Nov 5, 2024Updated last year
- Counterfactual Regression☆25Jul 12, 2016Updated 10 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆21Nov 21, 2022Updated 3 years ago
- ☆69Jun 11, 2025Updated last year
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆132Mar 24, 2023Updated 3 years ago
- ☆14Oct 21, 2024Updated last year
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Nov 9, 2016Updated 9 years ago
- The companion code to the paper "Model-based Causal Bayesian Optimization"☆11Nov 16, 2022Updated 3 years ago
- Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation (ICML 2024)☆15Jul 19, 2024Updated 2 years ago